Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

This is a survey designed for mathematical programming people who do not know molecular
biology and want to learn the kinds of combinatorial optimization problems that arise. After a …

Motivation: As an increasing number of protein structures become available, the need for
algorithms that can quantify the similarity between protein structures increases as well. Thus …

Protein structure comparison is a fundamental problem for structural genomics, with
applications to drug design, fold prediction, protein clustering, and evolutionary studies …

In biology, the protein structure alignment problem answers the question of how similar two
proteins are. Proteins with strong physical similarities in their tertiary (folded) structure often …

A vast number of very successful applications of Global-Local Search Hybrids have been
reported in the literature in the last years for a wide range of problem domains. The majority …

The progressive emergence of antimicrobial resistance has become a global health problem
in need of rapid solution. Research into new antimicrobial drugs is imperative. Drug …

In this paper we describe the application of a so called “Self-Generating” Memetic Algorithm
to the Maximum Contact Map Overlap problem (MAX-CMO). The maximum overlap of …

Since its emergence in March 2020, the SARS-CoV-2 global pandemic has produced more
than 116 million cases and 2.5 million deaths worldwide. Despite the enormous efforts …

We present a comprehensive survey of combinatorial algorithms and theorems about lattice
protein folding models obtained in the almost 15 years since the publication in 1995 of the …